Full Name: IBM Machine Learning Data Scientist v1
Exam Code: C1000-144
Certification Overview
The IBM Machine Learning Data Scientist is a person who can work with disparate data sets to design, plan, and present a proper business solution using IBM AI processes and tools (Watson Studio). They can evaluate business problem including ethical implications. They can perform exploratory data analysis that includes data preparation. They can also determine and implement proper models as well as refine and deploy and monitor the model.
IBM Machine Learning Data Scientist Exam Summary:
Exam Name
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IBM Certified Data Scientist - Machine Learning Specialist v1
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Exam Code
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C1000-144
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Exam Price
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$200 (USD)
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Duration
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90 mins
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Number of Questions
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61
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Passing Score
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74%
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| Books / Training | |
Sample Questions
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Practice Exam
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IBM C1000-144 Exam Syllabus Topics:
| Topic | Details | Weights |
| Evaluate business problem including ethical implications | - Understand business requirements - Understand what data is available - Understand ethical challenges in the business problem - Perform AI design thinking - Assess progress on the AI Ladder |
21% |
| Exploratory Data Analysis including data preparation | - Identify the methods used to clean, label, and anonymize data - Visualize data - Balance and partition data |
18% |
| Implement the proper model | - Implement Supervised Learning: Regression - Implement Supervised Learning: Classification - Implement Unsupervised Learning: Clustering - Implement Unsupervised Learning: Dimensional Reduction |
26% |
| Refine and deploy the model | - Identify operations and transformations taken to select and engineer features - Select the proper tools - Configure the appropriate environment specifications for training the model - Train the model and optimize hyperparameters - Implement the ability for the model to explain itself |
18% |
| Monitor models in production | - Assess the model - Monitor the model in production - Determine if there is unfair bias in the model |
17% |
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